DocumentCode :
72907
Title :
Segment Adaptive Gradient Angle Interpolation
Author :
Zwart, Christine M. ; Frakes, D.H.
Author_Institution :
Sch. of Biol. & Health Syst. Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
22
Issue :
8
fYear :
2013
fDate :
Aug. 2013
Firstpage :
2960
Lastpage :
2969
Abstract :
We introduce a new edge-directed interpolator based on locally defined, straight line approximations of image isophotes. Spatial derivatives of image intensity are used to describe the principal behavior of pixel-intersecting isophotes in terms of their slopes. The slopes are determined by inverting a tridiagonal matrix and are forced to vary linearly from pixel-to-pixel within segments. Image resizing is performed by interpolating along the approximated isophotes. The proposed method can accommodate arbitrary scaling factors, provides state-of-the-art results in terms of PSNR as well as other quantitative visual quality metrics, and has the advantage of reduced computational complexity that is directly proportional to the number of pixels.
Keywords :
computational complexity; image resolution; image segmentation; interpolation; PSNR; computational complexity; edge-directed interpolator; image intensity; image isophotes; image resizing; image resolution; pixel-intersecting isophotes; pixel-to-pixel; quantitative visual quality metrics; segment adaptive gradient angle interpolation; spatial derivatives; Equations; Image edge detection; Image resolution; Interpolation; Kernel; Mathematical model; Vectors; Directional interpolation; gradient angle; image upsampling; isophote; piecewise linear; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2012.2228493
Filename :
6357284
Link To Document :
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